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DeckMatch MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Delete Submission, Generate Investment Memo, Get Api Status, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect DeckMatch through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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Ask AI about this App Connector for Pydantic AI

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The DeckMatch app connector for Pydantic AI is a standout in the Artificial Intelligence category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to DeckMatch "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in DeckMatch?"
    )
    print(result.data)

asyncio.run(main())
DeckMatch
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DeckMatch MCP Server

Connect your DeckMatch (now AlphaLens) account to any AI agent and take full control of your venture capital deal flow and startup analysis workflows through natural conversation.

Pydantic AI validates every DeckMatch tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Deck Orchestration — Submit pitch deck URLs (PDF, PPTX, DocSend) programmatically to trigger automated data extraction and high-fidelity analysis
  • Investment Intelligence — Programmatically generate professional investment memos and retrieve AI-driven triage results, including problem/solution and business models
  • Semantic Discovery — Use the AlphaLens search engine to find startups matching specific strategic criteria and identify market signals directly through your agent
  • Portfolio Monitoring — Access your complete directory of analyzed decks and monitor triage statuses to maintain perfectly coordinated deal flow pipelines
  • Operational Monitoring — Check API health status, retrieve audit logs, and manage organization tags to maintain high-fidelity records of your investment activity

The DeckMatch MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 DeckMatch tools available for Pydantic AI

When Pydantic AI connects to DeckMatch through Vinkius, your AI agent gets direct access to every tool listed below — spanning pitch-deck-analysis, investment-triage, deal-flow, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

delete_submission

Remove pitch deck

generate_investment_memo

Create investment memo

get_api_status

Get connectivity info

get_deck_analysis

Get AI triage results

get_submission_audit

Get audit trail

get_submission_details

Get full submission info

list_enrichment_sources

Get data sources

list_submission_tags

List available tags

list_submissions

List all analyzed decks

search_startups_semantically

Find similar startups

submit_pitch_deck

Submit a deck for AI analysis

tag_submission

Label a submission

Connect DeckMatch to Pydantic AI via MCP

Follow these steps to wire DeckMatch into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from DeckMatch with type-safe schemas

Why Use Pydantic AI with the DeckMatch MCP Server

Pydantic AI provides unique advantages when paired with DeckMatch through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DeckMatch integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your DeckMatch connection logic from agent behavior for testable, maintainable code

DeckMatch + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the DeckMatch MCP Server delivers measurable value.

01

Type-safe data pipelines: query DeckMatch with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple DeckMatch tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query DeckMatch and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock DeckMatch responses and write comprehensive agent tests

Example Prompts for DeckMatch in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with DeckMatch immediately.

01

"Analyze this pitch deck: 'https://docsend.com/view/example-deck'."

02

"Find startups similar to 'Stripe' focusing on 'climate tech payments'."

03

"Generate an investment memo for submission 'sub_123'."

Troubleshooting DeckMatch MCP Server with Pydantic AI

Common issues when connecting DeckMatch to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

DeckMatch + Pydantic AI FAQ

Common questions about integrating DeckMatch MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your DeckMatch MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.